To evaluate our approach we tested against a naive frequency based implementation. We do this to determine if our approach is actually learning proper associations of assert statements to source code, or if the models is merely learning the "most likely" assert statement regardless of context. The results below show the most frequently used assert statements. Note that these asserts are from our abstracted dataset. We significantly outperformed the frequecy based approach.